{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# 下载和查看MNIST物品数据集",
   "id": "de6e139e6c947f51"
  },
  {
   "cell_type": "code",
   "id": "e0f3b90b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T09:19:32.978090Z",
     "start_time": "2025-08-10T09:19:32.975090Z"
    }
   },
   "source": [
    "import os\n",
    "import time\n",
    "\n",
    "import torch\n",
    "import torchvision\n",
    "from torch.utils import data\n",
    "from torchvision import transforms\n",
    "from d2l import torch as d2l\n",
    "from matplotlib import pyplot as plt"
   ],
   "outputs": [],
   "execution_count": 38
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T08:39:04.341967Z",
     "start_time": "2025-08-10T08:39:04.315258Z"
    }
   },
   "cell_type": "code",
   "source": [
    "trans = transforms.ToTensor()\n",
    "mnist_train = torchvision.datasets.FashionMNIST(\n",
    "    root='./data/img',\n",
    "    transform=trans, ## 这里指定转换的pipeline\n",
    "    train=True,\n",
    "    download=True\n",
    ")\n",
    "mnist_test = torchvision.datasets.FashionMNIST(\n",
    "    root='./data/img',\n",
    "    transform=trans,\n",
    "    train=False,\n",
    "    download=True\n",
    ")"
   ],
   "id": "844e3e11b060cd3c",
   "outputs": [],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T08:39:08.664910Z",
     "start_time": "2025-08-10T08:39:08.661965Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print('trainset data length: ',len(mnist_train))\n",
    "print('testset data length: ',len(mnist_test))"
   ],
   "id": "b58ecf5b4726140c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "trainset data length:  60000\n",
      "testset data length:  10000\n"
     ]
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T08:48:34.419068Z",
     "start_time": "2025-08-10T08:48:34.415066Z"
    }
   },
   "cell_type": "code",
   "source": "print('the shape of single sample in mnist train dataset  ',mnist_train[0][0].shape)",
   "id": "1dae2247510deebe",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the shape of single sample in mnist train dataset   torch.Size([1, 28, 28])\n"
     ]
    }
   ],
   "execution_count": 29
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T08:46:14.475728Z",
     "start_time": "2025-08-10T08:46:14.455705Z"
    }
   },
   "cell_type": "code",
   "source": [
    "mnist_train_raw = torchvision.datasets.FashionMNIST(\n",
    "    root='./data/img',\n",
    "    train=True,\n",
    "    download=True\n",
    ")"
   ],
   "id": "9b4d0a30df939c7f",
   "outputs": [],
   "execution_count": 22
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T08:49:00.199930Z",
     "start_time": "2025-08-10T08:49:00.195972Z"
    }
   },
   "cell_type": "code",
   "source": "mnist_train_raw[0][0]",
   "id": "7fab05c2fbcb5ddc",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<PIL.Image.Image image mode=L size=28x28>"
      ],
      "image/png": "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",
      "image/jpeg": "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"
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 30
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T09:15:06.139302Z",
     "start_time": "2025-08-10T09:15:06.136028Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def get_mnist_labels(labels:list[int]) -> list[str]:\n",
    "    \"\"\"返回mnist数据集标签文本\"\"\"\n",
    "    text_labels = ['t-shirt','trouser','pullover','dress','coat','sandal','shirt','sneaker','bag','ankle boot']\n",
    "    return [text_labels[int(i)] for i in labels]"
   ],
   "id": "b19939790e53b4b7",
   "outputs": [],
   "execution_count": 34
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T09:25:30.014828Z",
     "start_time": "2025-08-10T09:25:30.010828Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def show_images(imgs,num_rows,num_cols,titles = None,scale = 10.5):\n",
    "    \"\"\"绘制图像\"\"\"\n",
    "    figsize = (num_rows * scale,num_cols * scale)\n",
    "    _, axes = plt.subplots(num_rows,num_cols,figsize = figsize)\n",
    "    axes = axes.flatten()\n",
    "    for i,(ax,img) in enumerate(zip(axes,imgs)):\n",
    "        if torch.is_tensor(img):\n",
    "            ax.imshow(img.numpy())\n",
    "        else:\n",
    "            ax.imshow(img)\n",
    "        if titles:\n",
    "            ax.set_title(titles[i])\n",
    "    return axes"
   ],
   "id": "aa713dc5bd910b46",
   "outputs": [],
   "execution_count": 47
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T12:35:53.228422Z",
     "start_time": "2025-08-10T12:35:52.875793Z"
    }
   },
   "cell_type": "code",
   "source": [
    "X,y = next(iter(data.DataLoader(mnist_train,batch_size=10)))\n",
    "show_images(imgs=X.reshape(10,28,-1),num_cols=10,num_rows=1,titles=get_mnist_labels(y))"
   ],
   "id": "83afd1d5be203d9d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: title={'center': 'ankle boot'}>,\n",
       "       <Axes: title={'center': 't-shirt'}>,\n",
       "       <Axes: title={'center': 't-shirt'}>,\n",
       "       <Axes: title={'center': 'dress'}>,\n",
       "       <Axes: title={'center': 't-shirt'}>,\n",
       "       <Axes: title={'center': 'pullover'}>,\n",
       "       <Axes: title={'center': 'sneaker'}>,\n",
       "       <Axes: title={'center': 'pullover'}>,\n",
       "       <Axes: title={'center': 'sandal'}>,\n",
       "       <Axes: title={'center': 'sandal'}>], dtype=object)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1050x10500 with 10 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 56
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T12:35:41.735040Z",
     "start_time": "2025-08-10T12:35:41.731562Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import os\n",
    "def get_dataloader_workers(run_mode:str) -> int:\n",
    "    workers = {\n",
    "        'balance': max(0, int(os.cpu_count() / 2) - 1),\n",
    "        'performance': max(0, os.cpu_count() - 2)\n",
    "    }.get(run_mode, 0)\n",
    "    return workers\n"
   ],
   "id": "8b2f045ad8423d5b",
   "outputs": [],
   "execution_count": 55
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-08-10T12:38:56.745168Z",
     "start_time": "2025-08-10T12:38:50.756792Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import time\n",
    "batch_size = 512\n",
    "train_iter = data.DataLoader(\n",
    "    mnist_train,\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True,\n",
    "    num_workers=get_dataloader_workers('performance')\n",
    ")\n",
    "timer = time.time()\n",
    "for X,y in train_iter:\n",
    "    continue\n",
    "print(f'{time.time()-timer} sec')"
   ],
   "id": "167d6d3afb176d4e",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.984377861022949 sec\n"
     ]
    }
   ],
   "execution_count": 61
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
